Open Intent Discovery
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Benchmarks
Most implemented
Discovering New Intents with Deep Aligned Clustering
Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery
Papers
Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery
New intent discovery is a crucial capability for task-oriented dialogue systems. Existing methods focus on transferring in-domain (IND) prior knowledge to out-of-domain (OOD) data through pre-training and clustering stag…
ClusteringContrastive LearningIntent DiscoveryOpen Intent Discovery+3Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering
Intent Detection is a crucial component of Dialogue Systems wherein the objective is to classify a user utterance into one of multiple pre-defined intents. A pre-requisite for developing an effective intent identifier is…
ClusteringIntent DetectionIntent DiscoveryOpen Intent Discovery+2TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition
TEXTOIR is the first integrated and visualized platform for text open intent recognition. It is composed of two main modules: open intent detection and open intent discovery. Each module integrates most of the state-of-t…
Intent DetectionIntent DiscoveryIntent RecognitionManagement+2Open Intent Discovery through Unsupervised Semantic Clustering and Dependency Parsing
Intent understanding plays an important role in dialog systems, and is typically formulated as a supervised learning problem. However, it is challenging and time-consuming to design the intents for a new domain from scra…
ClusteringDependency ParsingIntent DiscoveryOpen Intent Discovery+2Discovering New Intents with Deep Aligned Clustering
Discovering new intents is a crucial task in dialogue systems. Most existing methods are limited in transferring the prior knowledge from known intents to new intents. They also have difficulties in providing high-qualit…
ClusteringOpen Intent DiscoveryShort Text ClusteringText ClusteringDiscovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement
Identifying new user intents is an essential task in the dialogue system. However, it is hard to get satisfying clustering results since the definition of intents is strongly guided by prior knowledge. Existing methods i…
ClusteringOpen Intent DiscoveryShort Text ClusteringText Clustering